Overview

Brought to you by YData

Dataset statistics

Number of variables12
Number of observations1326
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory124.4 KiB
Average record size in memory96.1 B

Variable types

Numeric12

Alerts

H10 is highly overall correlated with H12High correlation
H11 is highly overall correlated with H6High correlation
H12 is highly overall correlated with H10High correlation
H2 is highly overall correlated with H4High correlation
H4 is highly overall correlated with H2High correlation
H6 is highly overall correlated with H11High correlation
H7 is highly overall correlated with H8High correlation
H8 is highly overall correlated with H7High correlation
H7 has 760 (57.3%) zeros Zeros
H8 has 759 (57.2%) zeros Zeros

Reproduction

Analysis started2024-12-16 05:04:42.771937
Analysis finished2024-12-16 05:04:59.362804
Duration16.59 seconds
Software versionydata-profiling vv4.12.0
Download configurationconfig.json

Variables

H1
Real number (ℝ)

Distinct444
Distinct (%)33.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3766629
Minimum0.042
Maximum0.983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:59.460550image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.042
5-th percentile0.198
Q10.296
median0.368
Q30.454
95-th percentile0.5695
Maximum0.983
Range0.941
Interquartile range (IQR)0.158

Descriptive statistics

Standard deviation0.11570067
Coefficient of variation (CV)0.30717299
Kurtosis0.59651872
Mean0.3766629
Median Absolute Deviation (MAD)0.078
Skewness0.41419675
Sum499.455
Variance0.013386645
MonotonicityNot monotonic
2024-12-16T08:34:59.602231image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.467 10
 
0.8%
0.364 10
 
0.8%
0.297 9
 
0.7%
0.366 9
 
0.7%
0.303 9
 
0.7%
0.361 9
 
0.7%
0.42 9
 
0.7%
0.263 8
 
0.6%
0.282 8
 
0.6%
0.418 8
 
0.6%
Other values (434) 1237
93.3%
ValueCountFrequency (%)
0.042 1
0.1%
0.065 1
0.1%
0.094 1
0.1%
0.097 1
0.1%
0.115 1
0.1%
0.118 1
0.1%
0.122 1
0.1%
0.124 1
0.1%
0.125 1
0.1%
0.126 1
0.1%
ValueCountFrequency (%)
0.983 1
0.1%
0.807 1
0.1%
0.777 1
0.1%
0.763 1
0.1%
0.758 1
0.1%
0.75 1
0.1%
0.74 1
0.1%
0.719 1
0.1%
0.706 1
0.1%
0.701 1
0.1%

H6
Real number (ℝ)

High correlation 

Distinct1325
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7277.4431
Minimum1.0196573
Maximum38675.088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:59.741757image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.0196573
5-th percentile1133.732
Q13092.3756
median5530.057
Q310099.112
95-th percentile19232.41
Maximum38675.088
Range38674.068
Interquartile range (IQR)7006.7368

Descriptive statistics

Standard deviation5744.5766
Coefficient of variation (CV)0.78936744
Kurtosis2.2201205
Mean7277.4431
Median Absolute Deviation (MAD)3025.7478
Skewness1.4180985
Sum9649889.5
Variance33000160
MonotonicityNot monotonic
2024-12-16T08:34:59.888169image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2443.549824 2
 
0.2%
6179.816872 1
 
0.1%
8833.10384 1
 
0.1%
10605.63575 1
 
0.1%
3033.023199 1
 
0.1%
11633.89179 1
 
0.1%
9420.885176 1
 
0.1%
12121.45148 1
 
0.1%
5052.248757 1
 
0.1%
8601.837061 1
 
0.1%
Other values (1315) 1315
99.2%
ValueCountFrequency (%)
1.019657316 1
0.1%
30.2571751 1
0.1%
109.2032688 1
0.1%
125.5129845 1
0.1%
153.7938778 1
0.1%
164.056704 1
0.1%
202.2495425 1
0.1%
350.7116512 1
0.1%
358.993194 1
0.1%
381.7239867 1
0.1%
ValueCountFrequency (%)
38675.08793 1
0.1%
35318.98413 1
0.1%
31342.00423 1
0.1%
31006.0064 1
0.1%
29086.59494 1
0.1%
28382.26997 1
0.1%
28328.74768 1
0.1%
26771.36141 1
0.1%
26745.11208 1
0.1%
26395.7073 1
0.1%

H7
Real number (ℝ)

High correlation  Zeros 

Distinct557
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.065155
Minimum0
Maximum100
Zeros760
Zeros (%)57.3%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:35:00.043196image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q319.488408
95-th percentile69.453393
Maximum100
Range100
Interquartile range (IQR)19.488408

Descriptive statistics

Standard deviation25.157939
Coefficient of variation (CV)1.7886713
Kurtosis1.597321
Mean14.065155
Median Absolute Deviation (MAD)0
Skewness1.6663543
Sum18650.395
Variance632.92187
MonotonicityNot monotonic
2024-12-16T08:35:00.172966image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 760
57.3%
100 11
 
0.8%
0.09006789 1
 
0.1%
30.00004627 1
 
0.1%
0.152786103 1
 
0.1%
53.53514913 1
 
0.1%
0.019443292 1
 
0.1%
0.995208219 1
 
0.1%
0.022211542 1
 
0.1%
0.000854362 1
 
0.1%
Other values (547) 547
41.3%
ValueCountFrequency (%)
0 760
57.3%
4.22 × 10-121
 
0.1%
0.000405608 1
 
0.1%
0.000630957 1
 
0.1%
0.000640955 1
 
0.1%
0.000805895 1
 
0.1%
0.000844839 1
 
0.1%
0.000854362 1
 
0.1%
0.001283727 1
 
0.1%
0.001866024 1
 
0.1%
ValueCountFrequency (%)
100 11
0.8%
99.99224211 1
 
0.1%
99.98379202 1
 
0.1%
99.97839298 1
 
0.1%
99.97144503 1
 
0.1%
99.64216455 1
 
0.1%
99.22896964 1
 
0.1%
93.47674052 1
 
0.1%
89.95824434 1
 
0.1%
89.43198282 1
 
0.1%

H8
Real number (ℝ)

High correlation  Zeros 

Distinct557
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.196693
Minimum0
Maximum100
Zeros759
Zeros (%)57.2%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:35:00.315573image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q319.795201
95-th percentile69.453393
Maximum100
Range100
Interquartile range (IQR)19.795201

Descriptive statistics

Standard deviation25.090496
Coefficient of variation (CV)1.7673479
Kurtosis1.6209828
Mean14.196693
Median Absolute Deviation (MAD)0
Skewness1.6655552
Sum18824.815
Variance629.53299
MonotonicityNot monotonic
2024-12-16T08:35:00.605346image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 759
57.2%
100 11
 
0.8%
24.86528158 2
 
0.2%
0.182084587 1
 
0.1%
30.00004627 1
 
0.1%
0.862247259 1
 
0.1%
53.53514913 1
 
0.1%
0.019443292 1
 
0.1%
0.995208219 1
 
0.1%
0.045009835 1
 
0.1%
Other values (547) 547
41.3%
ValueCountFrequency (%)
0 759
57.2%
0.000405608 1
 
0.1%
0.000630957 1
 
0.1%
0.000640955 1
 
0.1%
0.000805895 1
 
0.1%
0.000844839 1
 
0.1%
0.000854362 1
 
0.1%
0.001283727 1
 
0.1%
0.001869408 1
 
0.1%
0.001941607 1
 
0.1%
ValueCountFrequency (%)
100 11
0.8%
99.99224211 1
 
0.1%
99.98379202 1
 
0.1%
99.97839298 1
 
0.1%
99.97144503 1
 
0.1%
99.64216455 1
 
0.1%
99.22896964 1
 
0.1%
93.47674052 1
 
0.1%
89.95824434 1
 
0.1%
89.43198282 1
 
0.1%

H2
Real number (ℝ)

High correlation 

Distinct1322
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5708048
Minimum6.4988978
Maximum21.970974
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:35:00.740049image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum6.4988978
5-th percentile7.0015984
Q17.87644
median8.609048
Q39.2183819
95-th percentile9.9328435
Maximum21.970974
Range15.472076
Interquartile range (IQR)1.3419419

Descriptive statistics

Standard deviation0.98473856
Coefficient of variation (CV)0.11489453
Kurtosis25.357135
Mean8.5708048
Median Absolute Deviation (MAD)0.66027824
Skewness1.9570379
Sum11364.887
Variance0.96971003
MonotonicityNot monotonic
2024-12-16T08:35:00.875147image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.29982287 2
 
0.2%
7.989873151 2
 
0.2%
9.474554425 2
 
0.2%
7.552991917 2
 
0.2%
9.755736031 1
 
0.1%
8.48736139 1
 
0.1%
8.694592539 1
 
0.1%
7.123628434 1
 
0.1%
7.91227231 1
 
0.1%
9.814916521 1
 
0.1%
Other values (1312) 1312
98.9%
ValueCountFrequency (%)
6.498897801 1
0.1%
6.534139376 1
0.1%
6.546473275 1
0.1%
6.5577561 1
0.1%
6.564205612 1
0.1%
6.56720359 1
0.1%
6.580233675 1
0.1%
6.581082139 1
0.1%
6.599540981 1
0.1%
6.61342667 1
0.1%
ValueCountFrequency (%)
21.97097378 1
0.1%
13.27234432 1
0.1%
12.55239636 1
0.1%
11.49903487 1
0.1%
11.28036038 1
0.1%
11.13380118 1
0.1%
10.86252261 1
0.1%
10.84720037 1
0.1%
10.83863872 1
0.1%
10.77782677 1
0.1%

H3
Real number (ℝ)

Distinct1249
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.231123
Minimum19.465815
Maximum41.473747
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:35:01.012861image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum19.465815
5-th percentile23.12502
Q125.285712
median27.289295
Q328.845242
95-th percentile31.21105
Maximum41.473747
Range22.007933
Interquartile range (IQR)3.5595298

Descriptive statistics

Standard deviation2.5808885
Coefficient of variation (CV)0.09477716
Kurtosis1.2948459
Mean27.231123
Median Absolute Deviation (MAD)1.7815552
Skewness0.42687467
Sum36108.469
Variance6.6609855
MonotonicityNot monotonic
2024-12-16T08:35:01.142938image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.51790237 9
 
0.7%
29.82475471 9
 
0.7%
28.10374641 7
 
0.5%
28.4384613 7
 
0.5%
28.79689217 7
 
0.5%
28.69542313 7
 
0.5%
29.49003983 7
 
0.5%
29.13160896 6
 
0.5%
29.38856888 4
 
0.3%
31.21105003 4
 
0.3%
Other values (1239) 1259
94.9%
ValueCountFrequency (%)
19.46581459 1
0.1%
20.15529823 1
0.1%
20.67658806 1
0.1%
21.46723747 1
0.1%
21.54097366 1
0.1%
21.54916 1
0.1%
21.55169678 1
0.1%
21.59483337 1
0.1%
21.6640625 1
0.1%
21.79293823 1
0.1%
ValueCountFrequency (%)
41.47374725 1
0.1%
40.94490051 1
0.1%
37.55043793 1
0.1%
35.97094727 1
0.1%
35.67889023 1
0.1%
35.12384796 1
0.1%
35.04073715 1
0.1%
35.03087997 1
0.1%
35.01682663 1
0.1%
34.89660263 1
0.1%

H4
Real number (ℝ)

High correlation 

Distinct1322
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5974722
Minimum1.0507836
Maximum12.46569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:35:01.268421image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.0507836
5-th percentile2.3142484
Q13.1248822
median3.5868512
Q34.1098374
95-th percentile4.711064
Maximum12.46569
Range11.414906
Interquartile range (IQR)0.98495525

Descriptive statistics

Standard deviation0.75832838
Coefficient of variation (CV)0.21079479
Kurtosis13.644082
Mean3.5974722
Median Absolute Deviation (MAD)0.48991025
Skewness1.0404556
Sum4770.2481
Variance0.57506193
MonotonicityNot monotonic
2024-12-16T08:35:01.402212image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.402303219 2
 
0.2%
3.726302862 2
 
0.2%
4.525363445 2
 
0.2%
3.722973108 2
 
0.2%
4.47462225 1
 
0.1%
3.192032814 1
 
0.1%
3.977521181 1
 
0.1%
2.825853109 1
 
0.1%
3.069298744 1
 
0.1%
5.223005772 1
 
0.1%
Other values (1312) 1312
98.9%
ValueCountFrequency (%)
1.050783634 1
0.1%
1.478969574 1
0.1%
1.487941384 1
0.1%
1.558238029 1
0.1%
1.607251048 1
0.1%
1.662412286 1
0.1%
1.666694403 1
0.1%
1.697162628 1
0.1%
1.698130727 1
0.1%
1.698400378 1
0.1%
ValueCountFrequency (%)
12.46568966 1
0.1%
5.696054459 1
0.1%
5.61702919 1
0.1%
5.578477383 1
0.1%
5.560518265 1
0.1%
5.504667759 1
0.1%
5.489018917 1
0.1%
5.482164383 1
0.1%
5.382469654 1
0.1%
5.308229446 1
0.1%

H5
Real number (ℝ)

Distinct1322
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5756974
Minimum0.13348791
Maximum21.723816
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:35:01.531836image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.13348791
5-th percentile0.20066703
Q10.41148309
median0.97067568
Q31.8956635
95-th percentile5.2670656
Maximum21.723816
Range21.590328
Interquartile range (IQR)1.4841804

Descriptive statistics

Standard deviation1.9524837
Coefficient of variation (CV)1.2391236
Kurtosis21.212889
Mean1.5756974
Median Absolute Deviation (MAD)0.61891056
Skewness3.6401027
Sum2089.3747
Variance3.8121927
MonotonicityNot monotonic
2024-12-16T08:35:01.658464image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.336916097 2
 
0.2%
2.575682623 2
 
0.2%
0.473239448 2
 
0.2%
0.913844434 2
 
0.2%
2.326166939 1
 
0.1%
0.282087767 1
 
0.1%
1.077355007 1
 
0.1%
0.243327629 1
 
0.1%
2.299066519 1
 
0.1%
0.365525306 1
 
0.1%
Other values (1312) 1312
98.9%
ValueCountFrequency (%)
0.133487913 1
0.1%
0.150385762 1
0.1%
0.165253651 1
0.1%
0.165872436 1
0.1%
0.166079774 1
0.1%
0.166204968 1
0.1%
0.167126155 1
0.1%
0.169996883 1
0.1%
0.171185154 1
0.1%
0.172142721 1
0.1%
ValueCountFrequency (%)
21.72381582 1
0.1%
17.64895491 1
0.1%
17.37034178 1
0.1%
15.89491477 1
0.1%
12.74876967 1
0.1%
12.14185386 1
0.1%
11.87354878 1
0.1%
11.41956417 1
0.1%
11.21611315 1
0.1%
10.66019318 1
0.1%

H9
Real number (ℝ)

Distinct1319
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.657145
Minimum0.39941126
Maximum391.52247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:35:01.780351image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.39941126
5-th percentile12.094144
Q127.412626
median41.657062
Q367.663693
95-th percentile141.44452
Maximum391.52247
Range391.12306
Interquartile range (IQR)40.251067

Descriptive statistics

Standard deviation44.621318
Coefficient of variation (CV)0.81638583
Kurtosis11.250368
Mean54.657145
Median Absolute Deviation (MAD)17.842449
Skewness2.6717791
Sum72475.374
Variance1991.0621
MonotonicityNot monotonic
2024-12-16T08:35:01.922900image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62.34561251 2
 
0.2%
12.08366666 2
 
0.2%
18.04197185 2
 
0.2%
48.70246317 2
 
0.2%
39.64916231 2
 
0.2%
37.52680733 2
 
0.2%
15.53190042 2
 
0.2%
33.29181167 1
 
0.1%
34.10144587 1
 
0.1%
41.71048266 1
 
0.1%
Other values (1309) 1309
98.7%
ValueCountFrequency (%)
0.399411255 1
0.1%
1.003675324 1
0.1%
3.07492424 1
0.1%
3.181614716 1
0.1%
3.54764502 1
0.1%
3.611909089 1
0.1%
4.300142853 1
0.1%
4.31256926 1
0.1%
4.337422074 1
0.1%
4.481025971 1
0.1%
ValueCountFrequency (%)
391.5224716 1
0.1%
381.2391967 1
0.1%
353.4320863 1
0.1%
345.3022379 1
0.1%
341.9118721 1
0.1%
323.4265994 1
0.1%
252.0144392 1
0.1%
247.2101124 1
0.1%
245.4604869 1
0.1%
237.9624674 1
0.1%

H10
Real number (ℝ)

High correlation 

Distinct47
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.776463 × 10-6
Minimum1.02 × 10-6
Maximum1.88 × 10-6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:35:02.066632image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.02 × 10-6
5-th percentile1.65 × 10-6
Q11.76 × 10-6
median1.8 × 10-6
Q31.82 × 10-6
95-th percentile1.84 × 10-6
Maximum1.88 × 10-6
Range8.6 × 10-7
Interquartile range (IQR)6 × 10-8

Descriptive statistics

Standard deviation7.1980667 × 10-8
Coefficient of variation (CV)0.04051909
Kurtosis0
Mean1.776463 × 10-6
Median Absolute Deviation (MAD)2 × 10-8
Skewness0
Sum0.00235559
Variance5.1812164 × 10-15
MonotonicityNot monotonic
2024-12-16T08:35:02.195330image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1.81 × 10-6190
14.3%
1.82 × 10-6180
13.6%
1.8 × 10-6153
11.5%
1.79 × 10-6123
9.3%
1.83 × 10-6122
9.2%
1.78 × 10-679
 
6.0%
1.77 × 10-659
 
4.4%
1.84 × 10-651
 
3.8%
1.76 × 10-646
 
3.5%
1.73 × 10-634
 
2.6%
Other values (37) 289
21.8%
ValueCountFrequency (%)
1.02 × 10-61
0.1%
1.1 × 10-61
0.1%
1.23 × 10-61
0.1%
1.28 × 10-61
0.1%
1.39 × 10-61
0.1%
1.41 × 10-61
0.1%
1.42 × 10-61
0.1%
1.43 × 10-61
0.1%
1.45 × 10-61
0.1%
1.47 × 10-61
0.1%
ValueCountFrequency (%)
1.88 × 10-63
 
0.2%
1.86 × 10-66
 
0.5%
1.85 × 10-614
 
1.1%
1.84 × 10-651
 
3.8%
1.83 × 10-6122
9.2%
1.82 × 10-6180
13.6%
1.81 × 10-6190
14.3%
1.8 × 10-6153
11.5%
1.79 × 10-6123
9.3%
1.78 × 10-679
6.0%

H11
Real number (ℝ)

High correlation 

Distinct1322
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22411.402
Minimum0.48941125
Maximum110543.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:35:02.322804image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.48941125
5-th percentile3435.6464
Q18842.7182
median17272.315
Q331012.606
95-th percentile59664.694
Maximum110543.85
Range110543.37
Interquartile range (IQR)22169.888

Descriptive statistics

Standard deviation18090.508
Coefficient of variation (CV)0.80720106
Kurtosis2.3090077
Mean22411.402
Median Absolute Deviation (MAD)10138.474
Skewness1.4528141
Sum29717519
Variance3.2726647 × 108
MonotonicityNot monotonic
2024-12-16T08:35:02.453412image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27939.03747 2
 
0.2%
16783.8667 2
 
0.2%
3656.169995 2
 
0.2%
10883.68566 2
 
0.2%
54681.73007 1
 
0.1%
47957.58646 1
 
0.1%
14591.15909 1
 
0.1%
12454.68414 1
 
0.1%
40087.84291 1
 
0.1%
11218.53321 1
 
0.1%
Other values (1312) 1312
98.9%
ValueCountFrequency (%)
0.489411255 1
0.1%
140.94937 1
0.1%
609.6033676 1
0.1%
697.0688459 1
0.1%
877.2357722 1
0.1%
920.194231 1
0.1%
1151.329354 1
0.1%
1282.269876 1
0.1%
1302.911239 1
0.1%
1394.009289 1
0.1%
ValueCountFrequency (%)
110543.8547 1
0.1%
104395.404 1
0.1%
101520.1247 1
0.1%
99310.79076 1
0.1%
98470.9777 1
0.1%
93141.89376 1
0.1%
90864.75734 1
0.1%
86588.70185 1
0.1%
85818.36841 1
0.1%
84530.35831 1
0.1%

H12
Real number (ℝ)

High correlation 

Distinct1322
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean282.02951
Minimum265.52742
Maximum488.54734
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:35:02.580923image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum265.52742
5-th percentile272.30054
Q1275.1824
median277.85999
Q3283.66138
95-th percentile302.9304
Maximum488.54734
Range223.01992
Interquartile range (IQR)8.4789779

Descriptive statistics

Standard deviation13.968214
Coefficient of variation (CV)0.04952749
Kurtosis63.202925
Mean282.02951
Median Absolute Deviation (MAD)3.4569988
Skewness5.9762027
Sum373971.13
Variance195.111
MonotonicityNot monotonic
2024-12-16T08:35:02.699545image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
277.2388843 2
 
0.2%
277.3444785 2
 
0.2%
268.1499622 2
 
0.2%
274.9187412 2
 
0.2%
274.2063636 1
 
0.1%
277.5456487 1
 
0.1%
283.4971152 1
 
0.1%
289.0416744 1
 
0.1%
279.1699756 1
 
0.1%
271.5493355 1
 
0.1%
Other values (1312) 1312
98.9%
ValueCountFrequency (%)
265.5274228 1
0.1%
266.2226279 1
0.1%
266.2746121 1
0.1%
268.1499622 2
0.2%
268.7505902 1
0.1%
268.8047958 1
0.1%
269.0919601 1
0.1%
269.4963392 1
0.1%
269.5715375 1
0.1%
269.610577 1
0.1%
ValueCountFrequency (%)
488.5473398 1
0.1%
454.1868668 1
0.1%
407.1567179 1
0.1%
392.1314359 1
0.1%
359.921673 1
0.1%
355.0138493 1
0.1%
352.4384128 1
0.1%
348.9651326 1
0.1%
344.4625011 1
0.1%
339.1587809 1
0.1%

Interactions

2024-12-16T08:34:57.807216image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:43.059504image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:44.479074image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:45.809737image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:47.076385image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:48.312642image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:49.935249image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:51.302862image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:52.567905image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:53.795637image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:55.147843image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:56.522998image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:57.917853image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:43.176047image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:44.587958image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:45.911467image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:47.171409image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:48.427586image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:50.048934image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:51.397911image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:52.665133image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:53.908206image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:55.242959image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:56.630851image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:58.025048image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:43.290461image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:44.710597image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:46.022522image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:47.304963image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:48.547084image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:50.201392image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:51.513420image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:52.778240image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:54.026691image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:55.361528image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:56.747646image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:58.116940image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:43.542117image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:44.820996image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:46.129665image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:47.397559image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:48.660196image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:50.319103image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:51.611889image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:52.874761image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:54.137333image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:55.617427image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:56.848876image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:58.221905image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:43.666229image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:44.925109image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:46.237927image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:47.498172image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:48.761889image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:50.451004image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:51.707932image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:52.977643image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:54.241497image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:55.710137image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:56.953029image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:58.347843image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:43.775424image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:45.038845image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:46.358074image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:47.606871image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:48.885479image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:50.572251image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:51.817838image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:53.100716image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:54.361277image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:55.820982image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:57.077421image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:58.439996image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:43.872617image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:45.140705image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:46.456851image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:47.704676image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:48.987095image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:50.670981image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:51.933905image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:53.198425image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:54.472558image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:55.915907image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:57.189468image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:58.534091image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:43.967495image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:45.257235image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:46.558395image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:47.799367image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:49.094580image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:50.772283image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:52.039430image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:53.292749image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:54.586806image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:56.017027image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:57.293530image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:58.629860image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:44.059988image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:45.361981image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:46.654111image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:47.908232image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:49.423447image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:50.882891image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:52.133458image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:53.388371image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:54.686470image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:56.116031image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:57.384188image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:58.757449image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:44.175989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:45.484632image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:46.765234image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:48.021009image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:49.556980image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:51.006078image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:52.242977image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:53.503094image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:54.797751image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:56.231050image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:57.497991image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:58.852266image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:44.278494image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:45.586443image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:46.874209image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:48.115571image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:49.677864image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:51.101783image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:52.353171image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:53.606502image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:54.909276image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:56.332734image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:57.591538image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:58.965482image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:44.378693image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:45.700468image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:46.980751image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:48.218626image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:49.800499image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:51.204678image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:52.468266image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:53.705048image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:55.027434image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:56.427103image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:57.710138image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2024-12-16T08:35:02.788497image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
H1H10H11H12H2H3H4H5H6H7H8H9
H11.0000.016-0.000-0.0190.0040.0120.0430.076-0.032-0.117-0.109-0.054
H100.0161.0000.118-0.9950.2220.1000.2460.257-0.0550.1550.157-0.417
H11-0.0000.1181.000-0.1190.3670.4590.0090.1750.921-0.085-0.084-0.016
H12-0.019-0.995-0.1191.000-0.226-0.101-0.250-0.2560.054-0.155-0.1570.416
H20.0040.2220.367-0.2261.0000.1950.7260.1400.203-0.035-0.014-0.158
H30.0120.1000.459-0.1010.1951.000-0.091-0.0140.4360.2640.2760.147
H40.0430.2460.009-0.2500.726-0.0911.0000.080-0.148-0.123-0.124-0.234
H50.0760.2570.175-0.2560.140-0.0140.0801.0000.083-0.049-0.043-0.331
H6-0.032-0.0550.9210.0540.2030.436-0.1480.0831.000-0.054-0.0570.167
H7-0.1170.155-0.085-0.155-0.0350.264-0.123-0.049-0.0541.0000.9670.033
H8-0.1090.157-0.084-0.157-0.0140.276-0.124-0.043-0.0570.9671.0000.036
H9-0.054-0.417-0.0160.416-0.1580.147-0.234-0.3310.1670.0330.0361.000

Missing values

2024-12-16T08:34:59.094886image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-12-16T08:34:59.287232image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

H1H6H7H8H2H3H4H5H9H10H11H12
00.4556179.8168720.0000000.0000008.69459328.5270793.9775211.077355195.6658740.00000214591.15909283.497115
10.4208833.1038400.0006310.0006317.12362827.8788172.8258530.24332878.0661930.00000212454.68414289.041674
20.46110605.6357500.0000000.0000007.91227228.8111273.0692992.29906734.2642380.00000240087.84291279.169976
30.4473033.0231990.0900680.1820859.81491729.3175305.2230060.36552532.7209290.00000211218.53321271.549335
40.22711633.89179030.00004630.0000469.49492335.0168273.4612810.338012118.7691020.00000248105.42083289.132413
50.5049420.8851760.1527860.8622477.84431226.2180543.2334790.52063137.7565130.00000236922.18444271.969786
60.28512121.4514800.0000000.0000007.26156827.7381212.9504540.813439121.0535800.00000213441.25903301.347211
70.1555052.2487570.0000000.0000008.30457331.2274062.6394540.21628466.8562730.00000214459.70775285.462591
80.2348601.8370610.0000000.0000009.90183324.1274034.2001021.5129258.3325690.00000229708.72696300.798060
90.21310692.2454000.0000000.0000009.93071726.8533804.5382992.60373037.1305630.00000235839.83230275.316967
H1H6H7H8H2H3H4H5H9H10H11H12
13160.4654487.8602360.0000000.00000010.54962726.6547304.8551571.17583552.0606970.00000218499.871870279.680748
13170.2384415.5744010.0000000.0000009.26398826.4683253.9284420.37397540.4510000.00000218141.649410274.336587
13180.6207741.2685130.0000000.0000009.97406128.2133464.4820570.65121222.4182880.00000230260.283180273.859105
13190.4703628.3082940.0000000.0000007.08609724.2243883.1240580.92811049.1945240.0000025992.604868280.202060
13200.3454046.89638933.28205233.2820528.19339130.0422572.9107243.24128222.0369680.00000215976.392250277.975625
13210.23511588.722890100.000000100.0000008.68498629.4520132.7422392.04355558.4045870.00000230343.968210279.101012
13220.43811454.90410026.56106526.5610658.76020830.9568793.2784972.77697932.5332840.00000229926.724780277.343939
13230.51510166.4142100.0000000.0000008.79584931.4074593.4992632.19419830.4959330.00000245943.685970277.825494
13240.2876665.4534180.0000000.0000009.84009629.5840724.2691792.65270435.1067360.00000223097.713170273.653867
13250.34716940.68892057.10182757.1018278.48736128.6954233.1920330.28208856.4613480.00000247957.586460277.545649